#   --------------------------------注释区--------------------------------
#   入口: http://unhkyw.dgweteywwyrjjgh.cn?fid=3826&st=2&rd=6811&ps=1&t=1741527035
#
#   需抓取数据: 
#   * 填写自动过检的api接口 本地 内网ip:5000 非本地自行进行穿透
#   * 登录多少个账号就跑多少个账号
#   * 部分地区不能跑
#   * 不想跑的号可以填wxid到 yuanshen_bstapi_notrun 多个#分割 注意是原始id
#   * 开启了公众号号任务但是想部分号不真实关注的请填 wxid 到 yuanshen_bstapi_gzhnotrun 多个#分割 注意是原始id
#   * 假如在过检成功的情况下只能阅读3到4篇文章就提示error然后结束就是被风控了 怎么解决?我也不知道 手动看一轮试试看吧
#   * 跑不了阅读就跑公众号 公众号一轮0.45
#
#   抓取请求头中的user-agent填入yuanshen_useragent 无论多少个号都只填一个即可!!!!  要且只要手机微信端user-agent其余user-agent = 封号
#
#
# 下面是自定义变量设置(注意是修改对应的环境变量而不是改文件内容):
# huaji_bst_max_threads                默认1 最大线程数
# huaji_bst_IsRun_ReadTask             默认开启 是否执行阅读任务 开启1 关闭0
# huaji_bst_IsRun_GzhTask              默认关闭 是否执行公众号任务 开启1 关闭0
# huaji_bst_IsReally_Gz                默认开启 执行公众号任务时是否真实关注 开启1 关闭0 不进行真实关注 有被暂停任务的风险
# huaji_bst_IsRun_SphTask              默认关闭 是否执行视频号任务 开启1 关闭0 不会进行真实关注 有被停止任务的风险 
#   --------------------------------祈求区--------------------------------
#                     _ooOoo_
#                    o8888888o
#                    88" . "88
#                    (| -_- |)
#                     O\ = /O
#                 ____/`---'\____
#               .   ' \\| |// `.
#                / \\||| : |||// \
#              / _||||| -:- |||||- \
#                | | \\\ - /// | |
#              | \_| ''\---/'' | |
#               \ .-\__ `-` ___/-. /
#            ___`. .' /--.--\ `. . __
#         ."" '< `.___\_<|>_/___.' >'"".
#        | | : `- \`.;`\ _ /`;.`/ - ` : | |
#          \ \ `-. \_ __\ /__ _/ .-` / /
#  ======`-.____`-.___\_____/___.-`____.-'======
#                     `=---='
# 
#  .............................................
#           佛祖保佑             永无BUG
#           佛祖镇楼             BUG辟邪
#   --------------------------------代码区--------------------------------
'''
Create at [2025-03-27 19:14:56]
'''
import requests
import os
import sys
import platform
import subprocess
import importlib
import datetime
from urllib.parse import urlparse
import logging
import socket
logging.basicConfig(level=logging.INFO, format='[%(levelname)s] ===> %(message)s')
log = logging.getLogger(__name__)

THIS_Proxies = 'https://github.huaji.asia/'   # 网络不行就填Github代理 这里只给出一个要是不行就自己找 https://github.huaji.asia/

data = 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'
func = 'main'

GithubUrl = f"{THIS_Proxies.rstrip('/')}/https://raw.githubusercontent.com/huaji8/So_common/master/so" if THIS_Proxies else 'https://raw.githubusercontent.com/huaji8/So_common/master/so'
THIS_MODE = 'Huaji_SoLoader'
So_name = f'{THIS_MODE}.so'




def get_system_info() -> None:
    global Download_name
    python_version = f"{sys.version_info.major}.{sys.version_info.minor}.{sys.version_info.micro}"
    download_pyver = f'{sys.version_info.major}.{sys.version_info.minor}'
    processor_arch = platform.machine().replace('AMD64', 'x86_64').replace('x64', 'x86_64')
    system_name = platform.system()
    system_ver = platform.release() + " " + platform.version()
    system_arch = platform.architecture()[0]
    if system_name == "Darwin":
        system_name = "macOS"
        system_ver = platform.mac_ver()[0]
    elif system_name == "Windows":
        system_ver = f"{platform.release()} (Build {platform.win32_ver()[1]})"
    
    log.info(f"系统信息 [Python/{python_version}] [系统架构 {processor_arch}] [{system_name}/{system_ver} {system_arch}]")
    if download_pyver not in ['3.10','3.11','3.12']:
        log.error(f'当前Python版本不支持运行此脚本，请使用Python3.10或3.11或3.12运行此脚本,什么??你不重装,简单,删除本脚本然后睡觉觉就行了..')
        
    if processor_arch == 'x86_64' and system_name == 'Linux':
        Download_name = f'{THIS_MODE}_{download_pyver}_x64.so'
    elif processor_arch == 'aarch64' and system_name == 'Linux':
        Download_name = f'{THIS_MODE}_{download_pyver}_aarch64.so'
    else:
        Download_name = f'{THIS_MODE}_{download_pyver}_x64.so'
        
    if processor_arch not in ['x86_64', 'aarch64']:
        log.warning(f'当前系统架构大概率不支持运行此脚本...')
        return
    elif 'Linux' not in system_name:
        log.error(f'当前系统不支持运行此脚本，请使用Linux运行此脚本')
    else:
        log.info('系统检测通过,开始运行脚本')
        return
    
    
    
    exit()



def download_file(save_path: str = None) -> bool:
    url =  GithubUrl + '/' + Download_name
    
    try:
        try:
            socket.create_connection(("www.github.com", 80), timeout=5)
            socket.create_connection(("www.github.com", 443), timeout=5)
        except (socket.timeout, socket.gaierror):
            log.warning("无法连接到Github,大概率下载是失败的,请检查网络或使用代理")

        if not save_path:
            file_name = os.path.basename(urlparse(url).path) or "downloaded_file"
            save_path = os.path.join(os.getcwd(), file_name)
        if os.path.exists(save_path) and os.path.getsize(save_path) == 0:
            os.remove(save_path)
        save_dir = os.path.dirname(save_path)
        os.makedirs(save_dir, exist_ok=True)
        curl_cmd = "curl.exe" if platform.system() == "Windows" else "curl"
        cmd = [
            curl_cmd,
            "-L", 
            "-f",
            "--silent",
            "--show-error",
            "-o", save_path,
            "-m","180",
            url
        ]

        result = subprocess.run(
            cmd,
            check=True,
            stdout=subprocess.PIPE,
            stderr=subprocess.PIPE,
            text=True
        )


        if not os.path.exists(save_path):
            log.error(f"下载文件不存在: {save_path}")
            return False
        if os.path.getsize(save_path) == 0:
            os.remove(save_path)
            log.error(f"下载文件为空: {save_path}")
            return False
        if result.returncode != 0:
            log.error(f"下载失败: {result.stderr.strip()}")
            return False
        log.info(f"文件下载成功: {save_path}")
        os.rename(Download_name, So_name)
        return True

    except subprocess.CalledProcessError as e:
        error_msg = f"下载失败: {e.stderr.strip()}" if e.stderr else "未知curl错误"
        log.error(error_msg)
        return False
    except Exception as e:
        log.error(f"下载异常: {str(e)}")
        return False
    
def dynamic_import(module_name: str) -> object:
    return importlib.import_module(module_name)

    
def Run() -> None:
    if os.path.exists(So_name):
        log.info('so文件存在,开始运行')
        print('='*30)
        obj = dynamic_import(THIS_MODE)
        obj.run(func, data)
    else:
        log.info('so文件不存在,开始下载')
        if download_file():
            Run()
        else:
            log.error('下载失败,请检查网络或使用代理')


if __name__ == '__main__':
    get_system_info()
    Run()
